TextQL Healthcare creates autonomous AI agents tailored for data-heavy tasks in healthcare organizations.
TextQL has introduced a new healthcare vertical that deploys AI agents to address the complex data challenges within the industry.
Supported by an executive advisory board made up of leaders from organizations serving over 120 million people in the US, TextQL Healthcare represents the company’s commitment to transforming how providers, payers, and health systems derive insights from their data.
TextQL Healthcare develops autonomous AI agents built to handle data-intensive tasks within healthcare organizations.
These agents carry out data reconciliation, analytics, and integration by writing and executing Python, SQL, and analytical code within healthcare-compliant environments.
They navigate multiple tables across diverse systems of data stores and records.
TextQL’s platform tackles healthcare data management challenges, including fragmented systems and electronic health records, where 90% of data requests go unfulfilled due to a shortage of skilled analysts.
Its AI agents reduce processes that once took days of manual work to just seconds.
TextQL Healthcare has partnered with Lumeris to integrate AI-powered analytics into care management workflows.
This collaboration connects TextQL’s platform with Lumeris’ data infrastructure, enabling autonomous AI agents to analyze complex datasets and deliver actionable insights to care teams—without requiring SQL knowledge or traditional reporting tools.
The partnership aims to eliminate technical barriers between clinical teams and their data, showcasing how AI agents can improve value-based care operations while easing administrative workloads as healthcare organizations manage quality standards and patient populations.
Harigovind Singh, Senior Vice President of Engineering at Lumeris, said: “TextQL enables analytics across our clinical and business teams to unify diverse data sources, analyze population health trends, and generate real-time actionable insights. This leads to significant operational efficiencies and productivity gains.”
